384500
2
Joaquin Vanschoren
1776
Supervised Classification
predictive_accuracy
1244
weka.FilteredClassifier_Discretize_J48(4)
2166
weka.classifiers.meta.FilteredClassifier -- -F "weka.filters.supervised.attribute.Discretize -R first-last -precision 6" -W weka.classifiers.trees.J48 -- -C 0.25 -M 2
C
0.25
1068
M
2
1068
F
weka.filters.supervised.attribute.Discretize
1244
W
weka.classifiers.trees.J48
1244
R
first-last
1245
precision
6
1245
weka
weka_3.7.12
12
mfeat-factors
https://www.openml.org/data/download/12/dataset_12_mfeat-factors.arff
-1
1340416
description
https://www.openml.org/data/download/1340416/weka_generated_run6327658260905647402.xml
-1
1340419
model_readable
https://www.openml.org/data/download/1340419/WekaModel_weka.classifiers.meta.FilteredClassifier2148490504587626200.model
-1
1340418
model_serialized
https://www.openml.org/data/download/1340418/WekaSerialized_weka.classifiers.meta.FilteredClassifier4337496387528368407.model
-1
1340417
predictions
https://www.openml.org/data/download/1340417/weka_generated_predictions8944969914565559514.arff
area_under_roc_curve
0.913019 [0.959388,0.886801,0.930452,0.870917,0.923963,0.854948,0.930561,0.942013,0.917874,0.913271]
average_cost
0
f_measure
0.805573 [0.912892,0.754246,0.83499,0.708995,0.833669,0.705074,0.829871,0.853029,0.822572,0.800396]
kappa
0.784222
kb_relative_information_score
7978.077741
mean_absolute_error
0.042332
mean_prior_absolute_error
0.18
number_of_instances
10000 [1000,1000,1000,1000,1000,1000,1000,1000,1000,1000]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.806122 [0.908821,0.753493,0.83004,0.68304,0.840447,0.747758,0.820939,0.84714,0.836608,0.792934]
predictive_accuracy
0.8058
prior_entropy
3.321928
recall
0.8058 [0.917,0.755,0.84,0.737,0.827,0.667,0.839,0.859,0.809,0.808]
relative_absolute_error
0.23518
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.184902
root_relative_squared_error
0.616339
scimark_benchmark
915.902839 [529.0386867435705, 976.4149961811265, 502.4528693647529, 880.2686586568803, 1691.338984742416]
total_cost
0
usercpu_time_millis
310
usercpu_time_millis_testing
20
usercpu_time_millis_training
290
area_under_roc_curve
0.920358 [0.934772,0.852011,0.922694,0.907856,0.958567,0.908311,0.936856,0.954144,0.899561,0.928811]
area_under_roc_curve
0.901139 [0.964167,0.902294,0.942117,0.865,0.868444,0.829889,0.916656,0.907328,0.942972,0.872528]
area_under_roc_curve
0.919158 [0.983611,0.874644,0.966594,0.87045,0.945817,0.843122,0.913711,0.972883,0.905589,0.915156]
area_under_roc_curve
0.912113 [0.958017,0.9247,0.949217,0.833244,0.898444,0.840133,0.9591,0.942278,0.941439,0.874561]
area_under_roc_curve
0.912929 [0.962739,0.920667,0.888333,0.877411,0.886822,0.882172,0.958356,0.877489,0.9266,0.948706]
area_under_roc_curve
0.930951 [0.982994,0.932106,0.930567,0.888061,0.980744,0.865678,0.948111,0.953739,0.936656,0.890856]
area_under_roc_curve
0.909878 [0.971661,0.868639,0.961578,0.86115,0.911872,0.882244,0.915756,0.938178,0.875939,0.911761]
area_under_roc_curve
0.916929 [0.922356,0.893228,0.912528,0.869161,0.943006,0.883544,0.941239,0.968367,0.916333,0.919528]
area_under_roc_curve
0.899318 [0.969178,0.8332,0.904761,0.854089,0.948683,0.783194,0.905311,0.967756,0.892928,0.934083]
area_under_roc_curve
0.902458 [0.940139,0.864244,0.922794,0.873094,0.905106,0.81085,0.902522,0.934844,0.939033,0.93195]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.797465 [0.86,0.683417,0.778846,0.728111,0.927083,0.760417,0.854054,0.861386,0.689655,0.831683]
f_measure
0.7748 [0.901961,0.757009,0.876847,0.701422,0.747368,0.602564,0.80198,0.780488,0.868687,0.709677]
f_measure
0.820655 [0.920792,0.730769,0.938144,0.735135,0.822335,0.701923,0.794393,0.906404,0.80402,0.852632]
f_measure
0.794078 [0.92,0.761468,0.819048,0.659794,0.791878,0.691099,0.803828,0.855769,0.846939,0.79096]
f_measure
0.816253 [0.925373,0.8,0.829016,0.707424,0.812834,0.744898,0.835681,0.804124,0.873684,0.829493]
f_measure
0.827097 [0.932039,0.82,0.810811,0.746411,0.949495,0.758242,0.875,0.813725,0.851675,0.713568]
f_measure
0.812361 [0.945274,0.748663,0.928571,0.692683,0.763636,0.719626,0.825871,0.876289,0.811111,0.811881]
f_measure
0.821441 [0.899471,0.835979,0.766355,0.748768,0.871795,0.691099,0.878049,0.905473,0.811594,0.805825]
f_measure
0.793426 [0.935961,0.693467,0.79397,0.693467,0.858537,0.645161,0.812183,0.873786,0.833333,0.794393]
f_measure
0.800237 [0.8867,0.721154,0.819048,0.678414,0.79803,0.715909,0.819149,0.852792,0.839378,0.871795]
kappa
0.773333
kappa
0.753333
kappa
0.8
kappa
0.772222
kappa
0.794444
kappa
0.808889
kappa
0.79
kappa
0.801111
kappa
0.772222
kappa
0.776667
kb_relative_information_score
792.240177
kb_relative_information_score
768.434298
kb_relative_information_score
815.318715
kb_relative_information_score
796.028476
kb_relative_information_score
805.760221
kb_relative_information_score
821.684309
kb_relative_information_score
797.924122
kb_relative_information_score
809.586846
kb_relative_information_score
786.236264
kb_relative_information_score
784.864313
mean_absolute_error
0.043498
mean_absolute_error
0.048803
mean_absolute_error
0.038589
mean_absolute_error
0.042699
mean_absolute_error
0.039514
mean_absolute_error
0.03889
mean_absolute_error
0.042859
mean_absolute_error
0.03912
mean_absolute_error
0.044609
mean_absolute_error
0.044743
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
number_of_instances
1000 [100,100,100,100,100,100,100,100,100,100]
number_of_instances
1000 [100,100,100,100,100,100,100,100,100,100]
number_of_instances
1000 [100,100,100,100,100,100,100,100,100,100]
number_of_instances
1000 [100,100,100,100,100,100,100,100,100,100]
number_of_instances
1000 [100,100,100,100,100,100,100,100,100,100]
number_of_instances
1000 [100,100,100,100,100,100,100,100,100,100]
number_of_instances
1000 [100,100,100,100,100,100,100,100,100,100]
number_of_instances
1000 [100,100,100,100,100,100,100,100,100,100]
number_of_instances
1000 [100,100,100,100,100,100,100,100,100,100]
number_of_instances
1000 [100,100,100,100,100,100,100,100,100,100]
precision
0.801845 [0.86,0.686869,0.75,0.675214,0.967391,0.793478,0.929412,0.852941,0.679612,0.823529]
precision
0.784575 [0.884615,0.710526,0.864078,0.666667,0.788889,0.839286,0.794118,0.761905,0.877551,0.65812]
precision
0.824143 [0.911765,0.703704,0.968085,0.8,0.835052,0.675926,0.745614,0.893204,0.808081,0.9]
precision
0.798385 [0.92,0.70339,0.781818,0.680851,0.804124,0.725275,0.770642,0.824074,0.864583,0.909091]
precision
0.825174 [0.920792,0.9,0.860215,0.627907,0.873563,0.760417,0.787611,0.829787,0.922222,0.769231]
precision
0.829861 [0.90566,0.82,0.882353,0.715596,0.959184,0.841463,0.842593,0.798077,0.816514,0.717172]
precision
0.81872 [0.940594,0.804598,0.947917,0.67619,0.7,0.675439,0.821782,0.904255,0.9125,0.803922]
precision
0.824607 [0.955056,0.88764,0.719298,0.737864,0.894737,0.725275,0.857143,0.90099,0.785047,0.783019]
precision
0.7939 [0.92233,0.69697,0.79798,0.69697,0.838095,0.697674,0.824742,0.849057,0.869565,0.745614]
precision
0.807839 [0.873786,0.694444,0.781818,0.606299,0.786408,0.828947,0.875,0.865979,0.870968,0.894737]
predictive_accuracy
0.796
predictive_accuracy
0.778
predictive_accuracy
0.82
predictive_accuracy
0.795
predictive_accuracy
0.815
predictive_accuracy
0.828
predictive_accuracy
0.811
predictive_accuracy
0.821
predictive_accuracy
0.795
predictive_accuracy
0.799
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
recall
0.796 [0.86,0.68,0.81,0.79,0.89,0.73,0.79,0.87,0.7,0.84]
recall
0.778 [0.92,0.81,0.89,0.74,0.71,0.47,0.81,0.8,0.86,0.77]
recall
0.82 [0.93,0.76,0.91,0.68,0.81,0.73,0.85,0.92,0.8,0.81]
recall
0.795 [0.92,0.83,0.86,0.64,0.78,0.66,0.84,0.89,0.83,0.7]
recall
0.815 [0.93,0.72,0.8,0.81,0.76,0.73,0.89,0.78,0.83,0.9]
recall
0.828 [0.96,0.82,0.75,0.78,0.94,0.69,0.91,0.83,0.89,0.71]
recall
0.811 [0.95,0.7,0.91,0.71,0.84,0.77,0.83,0.85,0.73,0.82]
recall
0.821 [0.85,0.79,0.82,0.76,0.85,0.66,0.9,0.91,0.84,0.83]
recall
0.795 [0.95,0.69,0.79,0.69,0.88,0.6,0.8,0.9,0.8,0.85]
recall
0.799 [0.9,0.75,0.86,0.77,0.81,0.63,0.77,0.84,0.81,0.85]
relative_absolute_error
0.241654
relative_absolute_error
0.27113
relative_absolute_error
0.214384
relative_absolute_error
0.237217
relative_absolute_error
0.219521
relative_absolute_error
0.216057
relative_absolute_error
0.238107
relative_absolute_error
0.217332
relative_absolute_error
0.247826
relative_absolute_error
0.24857
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.185334
root_mean_squared_error
0.195239
root_mean_squared_error
0.179043
root_mean_squared_error
0.185934
root_mean_squared_error
0.184436
root_mean_squared_error
0.170371
root_mean_squared_error
0.185016
root_mean_squared_error
0.181285
root_mean_squared_error
0.190539
root_mean_squared_error
0.190652
root_relative_squared_error
0.617779
root_relative_squared_error
0.650797
root_relative_squared_error
0.59681
root_relative_squared_error
0.619781
root_relative_squared_error
0.614787
root_relative_squared_error
0.567905
root_relative_squared_error
0.61672
root_relative_squared_error
0.604284
root_relative_squared_error
0.63513
root_relative_squared_error
0.635506
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
180
usercpu_time_millis
150
usercpu_time_millis
150
usercpu_time_millis
160
usercpu_time_millis
150
usercpu_time_millis
250
usercpu_time_millis
160
usercpu_time_millis
150
usercpu_time_millis
170
usercpu_time_millis
150
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
20
usercpu_time_millis_testing
20
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
20
usercpu_time_millis_testing
10
usercpu_time_millis_training
170
usercpu_time_millis_training
140
usercpu_time_millis_training
140
usercpu_time_millis_training
140
usercpu_time_millis_training
130
usercpu_time_millis_training
240
usercpu_time_millis_training
150
usercpu_time_millis_training
140
usercpu_time_millis_training
150
usercpu_time_millis_training
140